Evidence map›Paper›PMID 23585740›Full record

ArticleJournal of chemical theory and computation2013

Dynamic Heterogeneous Dielectric Generalized Born (DHDGB): An implicit membrane model with a dynamically varying bilayer thickness.

Afra Panahi, Michael Feig

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Review
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  6. M2 amphipathic helices facilitate pH-dependent conformational transition in influenza A virus.Proceedings of the National Academy of Sciences of the United States of America · 2020
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  13. Computational studies of peptide-induced membrane pore formation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Afra PanahiDepartment of Chemistry, Michigan State University, East Lansing, MI, 48824.
Michael Feig

Funding

Protein structure refinement through effective sampling and scoringR01GM084953 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2008 to 2017
$2.5M
Multiscale modeling of supramolecular protein-DNA assembliesR01GM092949 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2010 to 2013
$1.1M
NIGMS NIH HHS R01 GM084953NIGMS NIH HHS R01 GM092949
6 · The paper itself

Abstract

An extension to the heterogeneous dielectric generalized Born (HDGB) implicit membrane formalism is presented to allow dynamic membrane deformations in response to membrane-inserted biomolecules during molecular dynamic simulations. The flexible membrane is implemented through additional degrees of freedom that represent the membrane deformation at the contact points of a membrane-inserted solute with the membrane. The extra degrees of freedom determine the dielectric and non-polar solvation free energy profiles that are used to obtain the solvation free energy in the presence of the membrane and are used to calculate membrane deformation free energies according to an elastic membrane model. With the dynamic HDGB (DHDGB) model the membrane is able to deform in response to the insertion of charged molecules thereby avoiding the overestimation of insertion free energies with static membrane models. The DHDGB model also allows the membrane to respond to the insertion of membrane-spanning solutes with hydrophobic mismatch. The model is tested with the membrane insertion of amino acid side chain analogs, arginine-containing helices, the WALP23 peptide, and the gramicidin A channel.

Indexed as

elasticity theoryhydrophobic mismatchinsertion penaltymembrane deformation

Identifiers

PMID23585740
PMCPMC3622271

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.